A Numerical Study on the Estimation of Liquefaction-Induced Free-Field Settlements by Using PM4Sand Model

Subasi, Ozan; Koltuk, Serdar; İyisan, Recep

doi:10.1007/s12205-021-0719-0

Cited by 6 publications

(2 citation statements)

References 31 publications

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“…The PM4Sand constitutive equations proposed by Boulanger and Ziotopoulou 92 were used to model the dynamic behavior of the water-saturated loose sand layer in all models. In many studies in the literature, highly successful results have been obtained with PM4Sand constitutive equations used to model the dynamic behavior of sands 98 , 100 – 103 . In geotechnical earthquake engineering, the PM4Sand Model consists of constitutive equations based on the two-dimensional theory of plasticity, which are stress ratio controlled, compatible with critical state theory and created to model the dynamic behavior of sand soil layers 92 .…”

Section: Numerical Analysismentioning

confidence: 99%

The effect of RCA pavements on the liquefaction-induced settlement

Akbaş¹,

Subasi²,

İyisan³

2023

Sci Rep

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The use of recycled concrete aggregates (RCA) not only reduces the demand for natural aggregates (NA) but also might improve the behavior of soil under earthquake loading. In this study, the behavior of the pavement constructed using 100% RCA and NA on a sandy soil layer with high liquefaction potential under dynamic loads was investigated by numerical analysis and compared with free field conditions. For this purpose, first, the classical geotechnical properties of 100% RCA and NA materials were obtained, and then the stiffness properties were determined by resilient modulus and permanent deformation tests. In the second stage, three different models were created with pavement with NA and RCA and without pavement on high liquefaction potential sand, and dynamic analyses were carried out by PM4Sand. Numerical analyses show that constructing a subbase and base layers significantly reduces liquefaction-induced settlement on the surface of flexible pavements built on liquefied soils. Moreover, when the case of using RCA instead of NA in the subbase and base layers built on the liquefied soil is examined, the liquefaction-induced settlement values on the surface are obtained either lower or very close. Consequently, this study proposes a new alternative to the use of RCA waste materials instead of NA. It is expected the use of these waste materials will reduce the need for storage space and also reduce the negative environmental effects associated with storage.

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Section: Numerical Analysismentioning

confidence: 99%

The effect of RCA pavements on the liquefaction-induced settlement

Akbaş¹,

Subasi²,

İyisan³

2023

Sci Rep

Self Cite

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“…The Plaxis 2D and PM4Sand finite code elements were implemented to calculate liquefaction, and the results were compared with semi-empirical methods. The results showed that the PM4Sand-Model had lower settlement values than the semi-empirical methods [ 12 ]. A probabilistic numerical framework using a fully coupled formulation was implemented to study the soil characteristics based on volumetric soil strains and pore water pressure.…”

Section: Introductionmentioning

confidence: 99%

A Stacked Generalization Model to Enhance Prediction of Earthquake-Induced Soil Liquefaction

Preethaa

Natarajan

Rathinakumar³

et al. 2022

Sensors

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Earthquakes cause liquefaction, which disturbs the design phase during the building construction process. The potential of earthquake-induced liquefaction was estimated initially based on analytical and numerical methods. The conventional methods face problems in providing empirical formulations in the presence of uncertainties. Accordingly, machine learning (ML) algorithms were implemented to predict the liquefaction potential. Although the ML models perform well with the specific liquefaction dataset, they fail to produce accurate results when used on other datasets. This study proposes a stacked generalization model (SGM), constructed by aggregating algorithms with the best performances, such as the multilayer perceptron regressor (MLPR), support vector regression (SVR), and linear regressor, to build an efficient prediction model to estimate the potential of earthquake-induced liquefaction on settlements. The dataset from the Korean Geotechnical Information database system and the standard penetration test conducted on the 2016 Pohang earthquake in South Korea were used. The model performance was evaluated by using the R2 score, mean-square error (MSE), standard deviation, covariance, and root-MSE. Model validation was performed to compare the performance of the proposed SGM with SVR and MLPR models. The proposed SGM yielded the best performance compared with those of the other base models.

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Numerical Simulation of Seismic Liquefaction for Treasure Island Site

Lin

Zhan

et al. 2023

Lecture Notes in Civil Engineering

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By conducting numerical simulations of Treasure Island site in 1989 Loma Prieta earthquake, the Hilbert-Huang transform was used to study soil liquefaction. The UBC3D-PLM constitutive model was used to simulate the dynamic behavior of sand, the non-liquefied soil was simulated by Hardening Small Strain model, and the seismic information recorded in the PEER database was used for deconvolution analysis by one-dimensional equivalent linear analysis method, and the within motion was applied. Rayleigh damping is used in the numerical simulation process, and the damping ratio is 5%. Based on the Hilbert-Huang transform analysis, it is concluded that the UBC3D-PLM constitutive model can effectively simulate the dynamic behavior of soil. The amplification of the peak acceleration was from the bottom of Sandy fill to the ground surface, and the low-frequency content was shifted due to liquefaction in the process of transmission to the surface, and the high-frequency content was identified at the surface.

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A Numerical Study on the Estimation of Liquefaction-Induced Free-Field Settlements by Using PM4Sand Model

Cited by 6 publications

References 31 publications

The effect of RCA pavements on the liquefaction-induced settlement

The effect of RCA pavements on the liquefaction-induced settlement

A Stacked Generalization Model to Enhance Prediction of Earthquake-Induced Soil Liquefaction

Numerical Simulation of Seismic Liquefaction for Treasure Island Site

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